Parametric modeling of localized melanoma prognosis and outcome

Shouluan Ding; Seng Jaw Soong; Hui Yi Lin; Renee Desmond; Charles M. Balch

doi:10.1080/10543400902964175

Parametric modeling of localized melanoma prognosis and outcome

Shouluan Ding, Seng Jaw Soong, Hui Yi Lin, Renee Desmond, Charles M. Balch

School of Medicine

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

This investigation explored the most suitable parametric model for melanoma prognosis and compared it with the Cox model. Cox-Snell residuals and survival function plots were applied to assess whether the generalized gamma (GG) model was the best-fit parametric model for the data. The GG model is a powerful alternative to the Cox model in prognostic modeling. The GG model offers an advantage of explicit and flexible individualized hazard functions over the Cox model and provides a clinically useful risk assessment over time to aid clinicians in formulating patient treatment, follow-up plans, and clinical trial design and analysis.

Original language	English (US)
Pages (from-to)	732-747
Number of pages	16
Journal	Journal of biopharmaceutical statistics
Volume	19
Issue number	4
DOIs	https://doi.org/10.1080/10543400902964175
State	Published - Jul 2009

Keywords

Accelerated failure time models
Cox model
Generalized gamma distribution
Melanoma survival data
Mortality
Parametric models

ASJC Scopus subject areas

Statistics and Probability
Pharmacology
Pharmacology (medical)

Access to Document

10.1080/10543400902964175

Cite this

@article{23cf3b9a3602463797c9e40b70214196,

title = "Parametric modeling of localized melanoma prognosis and outcome",

abstract = "This investigation explored the most suitable parametric model for melanoma prognosis and compared it with the Cox model. Cox-Snell residuals and survival function plots were applied to assess whether the generalized gamma (GG) model was the best-fit parametric model for the data. The GG model is a powerful alternative to the Cox model in prognostic modeling. The GG model offers an advantage of explicit and flexible individualized hazard functions over the Cox model and provides a clinically useful risk assessment over time to aid clinicians in formulating patient treatment, follow-up plans, and clinical trial design and analysis.",

keywords = "Accelerated failure time models, Cox model, Generalized gamma distribution, Melanoma survival data, Mortality, Parametric models",

author = "Shouluan Ding and Soong, {Seng Jaw} and Lin, {Hui Yi} and Renee Desmond and Balch, {Charles M.}",

note = "Funding Information: We also thank Connie Pitts, UAB Biostatistics and Bioinformatics Unit, for her assistance in manuscript preparation. Supported in part by a grant from the National Cancer Institute (P30 CA13148), National Institutes of Health, USA.",

year = "2009",

month = jul,

doi = "10.1080/10543400902964175",

language = "English (US)",

volume = "19",

pages = "732--747",

journal = "Journal of biopharmaceutical statistics",

issn = "1054-3406",

publisher = "Taylor and Francis Ltd.",

number = "4",

}

TY - JOUR

T1 - Parametric modeling of localized melanoma prognosis and outcome

AU - Ding, Shouluan

AU - Soong, Seng Jaw

AU - Lin, Hui Yi

AU - Desmond, Renee

AU - Balch, Charles M.

N1 - Funding Information: We also thank Connie Pitts, UAB Biostatistics and Bioinformatics Unit, for her assistance in manuscript preparation. Supported in part by a grant from the National Cancer Institute (P30 CA13148), National Institutes of Health, USA.

PY - 2009/7

Y1 - 2009/7

N2 - This investigation explored the most suitable parametric model for melanoma prognosis and compared it with the Cox model. Cox-Snell residuals and survival function plots were applied to assess whether the generalized gamma (GG) model was the best-fit parametric model for the data. The GG model is a powerful alternative to the Cox model in prognostic modeling. The GG model offers an advantage of explicit and flexible individualized hazard functions over the Cox model and provides a clinically useful risk assessment over time to aid clinicians in formulating patient treatment, follow-up plans, and clinical trial design and analysis.

AB - This investigation explored the most suitable parametric model for melanoma prognosis and compared it with the Cox model. Cox-Snell residuals and survival function plots were applied to assess whether the generalized gamma (GG) model was the best-fit parametric model for the data. The GG model is a powerful alternative to the Cox model in prognostic modeling. The GG model offers an advantage of explicit and flexible individualized hazard functions over the Cox model and provides a clinically useful risk assessment over time to aid clinicians in formulating patient treatment, follow-up plans, and clinical trial design and analysis.

KW - Accelerated failure time models

KW - Cox model

KW - Generalized gamma distribution

KW - Melanoma survival data

KW - Mortality

KW - Parametric models

UR - http://www.scopus.com/inward/record.url?scp=70449629449&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70449629449&partnerID=8YFLogxK

U2 - 10.1080/10543400902964175

DO - 10.1080/10543400902964175

M3 - Article

C2 - 20183437

AN - SCOPUS:70449629449

SN - 1054-3406

VL - 19

SP - 732

EP - 747

JO - Journal of biopharmaceutical statistics

JF - Journal of biopharmaceutical statistics

IS - 4

ER -

Parametric modeling of localized melanoma prognosis and outcome

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this